NEUTRON NOISE CALCULATION IN A
LARGE SFR CORE AND ANALYSIS OF
ITS PROPERTIES
Florian Zylbersztejn
CEA, DEN, Cadarache, DER/SPEx/LDCI
Christian Jammes, Philippe Filliatre.
CEA, DEN, Cadarache, DER/SPEx/LDCI
Imre Pazsit, Hoai Nam Tran, Paolo Vinai, Christophe Demazière.
SOMMAIRE
TABLE OF CONTENTS:
Introduction & ESFR core
1) Reminder of the Neutron noise equations
2) Verification of the CORESIM code
2) Verification of the CORESIM code
3) Neutron noise calculations: results and analysis
INTRODUCTION
Context:
Renewal of the fast reactors field with the Generation-IV international forum. Project of industrial prototype (Astrid) by the CEA in France.
The next generation of SFR must have improved safety requirements on every topics.
every topics.
Neutron noise simulation:
Not explored enough for fast systems.
Enhance neutron diagnosis to improve the safety.
1) REMINDER OF THE NEUTRON NOISE EQUATIONS
General operator form of diffusion equation :
Static flux calculation: eigen-values problem
Noise equations : source problem in complex formalism
S
P
k
B
dt
d
v
+
φ
=
effφ
+
1
)
(
1
Similar equations: same solving algorithm.
Results of neutron noise: good as long as static flux calculations are good
( )
( ) ( )
( )
( )
( )
( )
2 , , ' ' , ' ' ' ' 1 , , , , , g g t g g g f g g s g g g g g g g eff g D r r r r S r k δφ ω ω δφ ω χ ω ν δφ ω → δφ ω ω ≠ ≠ − ∇ +∑ =∑
∑ +∑
∑ +( )
,( ) ( )
, '( ) ( )
'( )
, '( ) ( )
' ' ' 1 , t g g s g g g g f g g g g eff g g r r r S r k δ ω φ δ ω φ χ ω δν ω φ ω → ≠ =− ∑ +∑
∑ +∑
∑MAIN FEATURES OF CORESIM
Some characteristics:Solving diffusion equations for static and dynamic states(i.e. noise in frequency domain). 3-D, multi-energy groups, multi-groups of delayed precursors.
Finite differences for spatial discretization.
Power iterative solution for both static and noise solutions. CMFD acceleration for both static and noise calculations. Language: Matlab scripts.
GENERAL LAYOUT OF THE ESFR CORE
Model chosen for this study: ESFR core
Optimized large fast neutron reactor.
2) VERIFICATION OF THE CORESIM CODE
Results of static calculations:Comparison with ERANOS: CEA code suite widely validated from integral measurements.
Conditions of calculations:
Same core model (macro XS)
ERANOS: Transport / CORESIM: diffusion
Eigenvalue ERANOS Noise simulator
NEUTRON FLUX SPATIAL DISTRIBUTION
Fast groups
COMPARISON OF POWER DISTRIBUTION
# ERANOS results # Relative error (%)
3) NEUTRON NOISE CALCULATIONS: RESULTS AND ANALYSIS
Scenario of perturbation: boiling
Cross section perturbation: generated with ERANOS Realistic frequency content: white noise [0.1Hz-10Hz] Neutron noise source: Each kind of cross section
NEUTRON NOISE EVALUATION FROM BOILING SOURCE
Results of Neutron noise:
Spatial dependence of the amplitude.
Frequency dependence. Evolution of the phase. Source position
Fuel C1
Fuel C2
NOISE AT LOW FREQUENCY: DEVIATION FROM POINT KINETIC
NOISE AT HIGHER FREQUENCIES
Frequency = 1.0 Hz
RADIAL NEUTRON NOISE EVOLUTION
Fast group
ANALYSIS OF THE RESULTS OF CALCULATIONS
CORESIM system code: provide and the phase.
The 33 group energy-dependant noise: interesting for the understanding of
the physical processes.
• f 0 Hz : Shape of the neutron noise shape Static flux shape. • f ∞ : Shape of the neutron noise shape Only a localized
component.
)
,
(
r
r
E
Φ
δ
To compute the ‘’measurable’’ neutron noise : integration over a detector XS.
Provide the measurable localized components of the neutron noise.
Cross section perturbations: realistic model, for energy dependence & amplitude.
The relative noise : correct order of magnitude of noise measurement.
Φ
Φ
‘’MEASURABLE’’ NEUTRON NOISE:
SPATIAL DEPENDENCESource location
: first assembly ringSmall amplitude:
10% boilingRELATIVE ‘’MEASURABLE’’ NEUTRON NOISE: SPATIAL DEPENDENCE
The deviation from static flux shape become more visible.
‘’MEASURABLE’’ NEUTRON NOISE:
SPATIAL DEPENDENCEAnother location
: at power peakHigher amplitude
: 50% boilingRELATIVE ‘’MEASURABLE’’ NEUTRON NOISE: SPATIAL DEPENDENCE
The deviation from static flux shape become visible.
CONCLUSIONS
The new CORESIM system code:
Solving algorithm: Verified with the reliable Ecco-Eranos code.
Solve the neutron noise equations: 1rs order perturbations & diffusion.
Estimation of the
δΦ
(r,E,
ω
) neutron noise:
Any scenario of oscillating perturbations.
33 group energy meshing: better understanding. 33 group energy meshing:
Applications for neutron diagnostics.
Conclusion on sodium boiling results:
Appearance of a localized component in the core. Noise level at detection location can be calculated. No localization possible from out core monitoring
TITRE DE LA DIAPOSITIVE
Sous-titre
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TITRE DE LA DIAPOSITIVE
Sous-titre
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smodiamet, secte doloreet,vulputem volore modionsed tat.
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